UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2011019


Registration ID:
303171

Page Number

119-122

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Title

AN AUTOMATED DIAGNOSTIC SYSTEM FOR HEART DISEASE PREDICTION BASED ON CNN-LSTM

Abstract

in this paper a heart disease prediction model for the prediction of occurrence of heart disease is presented. It aimed towards identifying the best classification algorithm for identifying the possibility of heart disease in a patient. This work is justified by performing a comparative study and analysis using three deep learning classification algorithms name CNN, DNN and LSTM are used at different levels of evaluations. This will provide researchers and medical practitioners to establish a better understanding and help them identify a solution to identify the best method for predicting the heart diseases. Results show that LSTM is better among three having accuracy of 95% in prediction of heart disease.

Key Words

LSTM, CNN, Prediction, Heart Disease, feature extraction

Cite This Article

"AN AUTOMATED DIAGNOSTIC SYSTEM FOR HEART DISEASE PREDICTION BASED ON CNN-LSTM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.119-122, November-2020, Available :http://www.jetir.org/papers/JETIR2011019.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AN AUTOMATED DIAGNOSTIC SYSTEM FOR HEART DISEASE PREDICTION BASED ON CNN-LSTM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp119-122, November-2020, Available at : http://www.jetir.org/papers/JETIR2011019.pdf

Publication Details

Published Paper ID: JETIR2011019
Registration ID: 303171
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 119-122
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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